Triple
T32284488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansas (fictional setting of the film) |
E824787
|
entity |
| Predicate | returnFromOzLocation |
P16989
|
FINISHED |
| Object | Dorothy’s bed in the Kansas farmhouse |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dorothy’s bed in the Kansas farmhouse | Statement: [Kansas (fictional setting of the film), returnFromOzLocation, Dorothy’s bed in the Kansas farmhouse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: returnFromOzLocation Context triple: [Kansas (fictional setting of the film), returnFromOzLocation, Dorothy’s bed in the Kansas farmhouse]
-
A.
returnedFrom
chosen
Indicates that an entity has come back or been sent back from a specified source, location, or prior state.
-
B.
eraLocation
Indicates the place or geographic context in which a particular historical era or time period occurs or is primarily associated.
-
C.
locates
Indicates that one entity determines, specifies, or identifies the position or place of another entity in space or within a given context.
-
D.
returnedToName
Indicates that an entity has gone back or been sent back to a specific person or named recipient.
-
E.
returnedVia
Indicates that something was sent back or responded to through a specified medium, channel, or method.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 1, 2026, 12:43 a.m.